Nonlinear logistic regression mixture experiment modeling for binary data using dimensionally reduced components.
Bryan StanfillGreg F. PiepelJohn D. ViennaScott K. CooleyPublished in: Qual. Reliab. Eng. Int. (2020)
Keyphrases
- logistic regression
- binary data
- decision trees
- support vector
- naive bayes
- logistic regression models
- credit scoring
- nonlinear models
- categorical data
- loss function
- odds ratio
- linear support vector machines
- mixture model
- formal concept analysis
- high dimensional
- data sets
- knowledge discovery
- continuous data
- cluster analysis
- itemsets
- feature extraction
- neural network